OPEN ACCESS
- NLESO based integrated flexible planning method for AC/DC hybrid microgrid
- Energy consumption predictions using a neural network
- Low-carbon and energy-efficient photovoltaic rooftop integration in intelligent industrial campuses
- Quantifying job-level carbon efficiency in HPC: an empirical study based on the PM100 dataset
- Harnessing Artificial Intelligence to improve building performance and energy use: innovations, challenges, and future perspectives
- Diesel waste heat cooling optimization in open-pit mines under 5G energy with an improved metaheuristic
- Electric field calculation of transmission lines based on CSM and analysis of fiber optical cable hanging points
- Artificial intelligence for energy optimization in smart buildings: A systematic review and meta-analysis
- Double objective decentralized transactive energy market framework for multi-energy microgrid
- An integrated framework for ADN congestion management combining PLLM-based forecasting and goose optimization
- Two-layer distributionally robust planning for hydro-wind-solar-storage systems based on reinforcement learning
- Electrochemical characterization of manganese-modified carbon nanofiber electrodes for potential fuel cell applications
- Electricity consumption prediction in smart buildings using deep learning approaches (2025)
- Energy–economic–environmental (3E) optimization of a hybrid system for a residential building in a developing country: a case of Nigeria
- Data-driven and explainable AI (XAI) framework for optimizing methane yield in large-scale biogas production
- A study of improved isolation forest algorithm for data management of transmission line defects and hazards
- A method for detecting high-risk electricity theft in low-voltage distribution network stations based on density clustering of IoT sensing data
- AI-based predictive maintenance of solar photovoltaics systems: a comprehensive review
- The metering error prediction method for charging pile based on knowledge-assisted modal decomposition
- Prediction of electricity price intervals using dynamic bayesian networks
- Integrated risk assessment and mitigation strategies for geothermal energy development: technical, socio-political, and financial dimensions
- Empirical analysis of industry 4.0 and the circular economy in accelerating the SDGs in G20 economies
- Evaluation of market power and collusion in large power networks using structural decomposition of the electricity market
- An effective IoT-based demand response for energy-efficient smart homes
- An integrated energy system flexible resource feature extraction and identification method for electricity spot market
- Correction: AI-Supported spherical fuzzy decision-making for barriers to renewable energy projects in hospitals: comparative country analysis
- Research on energy efficiency optimization strategies for E-commerce platform product supply chain based on artificial intelligence
- Collaborative control of photothermal photoelectric conversion performance based on nanofluid frequency division
- AI-Supported spherical fuzzy decision-making for barriers to renewable energy projects in hospitals: Comparative country analysis
- A bi-level Stackelberg game-based energy sharing trading method for port virtual power plants considering multiple uncertainties
- Projecting Ethiopia’s energy future to 2060: scenario analysis of demand, electrification, and GHG emissions using the LEAP model
- Direct current series fault arc recognition based on adaptive noise and sparrow optimization
- Predictive modeling of energy demands for battery electric buses using real-world data
- Efficient unmanned aerial vehicle inspection and management of transmission lines in modern electric power enterprises
- Application of machine learning in power grid fault detection and maintenance
- Design of double-layer capacity allocation model for hybrid energy storage in distribution network with photovoltaic power supply
- Three-dimensional electro-thermal coupling analysis of ultra-high-voltage autotransformer based on MPI-PETSc parallel computing framework
- Analysis of the monitoring and identification effect of system cognitive service technology on DC system in power grid
- Dynamic assessment of distribution network-VPP interaction: an LSTM-entropy hybrid methodology
- Resilient strategies to mitigate the volatility of copper and aluminium critical mineral demand for net-zero electricity network production
- Urban heat island monitoring and intelligent prediction method based on big data analysis
- Study on the impact mechanism of agricultural e-commerce subsidies on energy efficiency based on IV-2SLS and Random forest
- Electric supply restoration in self-healed smart distribution systems: a review
- Generation-side peak–valley time-of-use tariff optimization considering fluctuations in distributed photovoltaic grid-connected output
- Design a passive filter in combination with SAPF to improve the power quality of the solar hybrid micro-grid system and combustion engines
- Research on short-term prediction of photovoltaic power via improved VMD-based dynamic model fusion and adaptive boundary optimization
- Pump coupling control strategy and tank height difference optimization model for central air conditioning
- Optimization method for location and capacity determination of electric vehicle mobile charging station based on multi-objective hybrid frog jump algorithm
- A novel method for enhancing the accommodation of renewable energy in flexible AC/DC distribution networks based on energy router devices
- A meta-learning framework with temporal feature integration for electricity load forecasting
- A multi-step day-ahead wind power forecasting based on VMD-LSTM-EFG-ABC technique
- Towards privacy-preserving anomaly-based intrusion detection in energy communities
- Leveraging deep transfer learning and adaptive power models for enhanced charging time prediction in electric vehicles
- Research on data driven dynamic mechanism of energy enterprise investment: based on system dynamics simulation
- Comparative analysis of PV technologies across diverse solar regions using sustainability metrics
- Research on power dispatching model based on knowledge graph entity extraction task
- From technological empowerment to green performance: empirical evidence on Digitalization-driven energy conservation and emission reduction in logistics enterprises — a case study of SF holding
- Identification of generators’ market power abuse based on hunter–prey optimisation and CatBoost
- Research on nonlinear constraint assessment model of power grid based on generalized Benders decomposition
- Dynamic coupling of economic and energy structures in resource-based regions: a case study of Shanxi Province, China
- Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage
- Performance optimization of electrical equipment in high-altitude photovoltaic power stations based on PSO–MOEAD algorithm
- Multi-scale computational fluid dynamics and machine learning integration for hydrodynamic optimization of floating photovoltaic systems
- Multi-objective optimization models for power load balancing in distributed energy systems
- A study of parameter aggregation algorithms for virtual power plant terminal decentralized resource scheduling characteristics in alpine regions
- MASSIVE: A scalable framework for agent-based scheduling of micro-grids using market mechanisms
- A data-driven framework for predicting solar rooftop adoption in Germany based on open-source data
- Intelligent monitoring and control of farmland based on edge-cloud collaboration and digital twin for digital energy management: investment benefit analysis
- Analytical framework for household energy management: integrated photovoltaic generation and load forecasting mechanisms
- Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring
- Stochastic bi-level modelling and optimization of dynamic distribution networks with DG and EV integration
- Method for identifying error states of distribution network current transformers based on current imbalance weights
- Short-term load estimation based on improved DBN-LSTM
- Double layered expansion planning for virtual power plants considering virtual energy storage systems
- Numerical study on thermal performance of enhanced geothermal system with CO2 using multistage hydraulic stimulation
- Design and energy management research of integrated microgrid with light storage and charging with double-layer optimization scheduling model
- Energy optimization in intelligent sensor networks: application of particle swarm optimization algorithm in the deployment of electronic information sensing nodes
- Hydrogen leakage localization technology in hydrogen refueling stations combining RL and hidden Markov models
- Short-term residential electricity consumption forecast considering the cumulative effect of temperature, dual decomposition technology and integrated deep learning
- Design of intelligent energy management system for electric vehicles based on multi-objective optimization
- Gas turbine capacity planning method incorporating tiered carbon trading and two-stage power-to-gas integration
- Optimal location for electric vehicle charging station using multiobjective assessment method
- Economic impacts of repowering wind turbines: a comparative analysis of advanced wind turbine technologies
- Mapping hydrogen demand for heavy-duty vehicles: a spatial disaggregation approach
- Performance characterization and thermal imaging of large scale ground mounted solar photo voltaic plant in Western India
- A blockchain-enabled collaborative management framework for optimizing green power market transactions
- Designing small green houses for the future: energy efficiency and adaptability assessment
- Fault location and isolation technology for power grid automation based on intelligent algorithms
- Correction: Effect of various parameters on the performance of solar PV power plant: a review and the experimental study
- Investigation on effect of pH level of substrate by lime water and acetic acid treatment on biogas production through anaerobic digestion
- Bridging IoT devices and machine learning for predicting power consumption: case study universitas Widya Dharma Pontianak
- Real-world case studies for a process-aware IDS
- Neural network-based forecasting and uncertainty analysis of new power generation capacity of electric energy
- An adaptive prediction method for ultra-short-term generation power of power system based on the improved long- and short-term memory network of sparrow algorithm
- Parameter design of anchor support for large cross-sectional roadway based on non-destructive testing of anchor rods
- Energy analysis of hydrogen production via fuel-assisted high-temperature solid oxide electrolysis cell via system modelling
- Development and research of green building environment design and thermal energy management integrated system based on virtual reality technology
- Impact of electric vehicle charging demand on clean energy regional power grid control
- The low-carbon development path of the civil aviation industry based on the LEAP model
- Intelligent guarantee power supply decision method based on reinforcement learning algorithm
- Mini-grid performance in Sub-Saharan Africa: case studies from Tsumkwe and Gam, Namibia
ABSTRACT
- Unlocking the value of retired EV batteries: Technologies, application, and commercial models for second-life energy storage in power systems
- Biomass-derived ammonia production via chemical looping: process modeling, experimental validation, and techno-economic evaluation
- Power system planning under deep uncertainty: Integrating tidal energy for net-zero Northern Ireland
- Evaluating the sustainability of pv technologies and their cooling systems: a life cycle assessment review
- Investment valuation of photovoltaic and energy storage systems for diverse energy communities: A real option approach
- Recent progress in MXene-based electrode materials for aluminum-ion battery: A comprehensive review
- The influence of wave steepness and age on wake dynamics and power performance of offshore wind farms
- A fuzzy-and-fair framework for solar irradiance modeling and derivative pricing: Bridging photovoltaic production risk and climate-linked finance
- Leveraging asynchronous cross-border market data for improved day-ahead electricity price forecasting in European markets
- Automating HVAC enrichment in building energy models from imperfect BIM data through topology completeness validation
- Performance benchmark of thermal energy storage concepts in concentrating solar power
- Recent progress of chemical looping technology for waste plastic conversion
- Control-oriented modeling and dynamic energy balance control strategy of steam generation system in coal-fired power plants
- Optimal sizing of renewable hybrid power plants considering component reliability as a multi-discipline optimization under uncertainty
- Transformer-based model predictive control with anode potential awareness for online fast charging optimization of lithium-ion batteries
- High-speed REPTA algorithm for performance cost optimization in data centers considering workload delay tolerances
- Mapping cost-effective hydrogen production based on renewable resource potential and techno-economic analysis: a case study
- Enhancing resilience of electric vehicle charging management in hydrogen–electric coupled distribution networks: A risk-characterization multi-agent reinforcement learning approach
- Design and modelling of a reversible HP/ORC Carnot battery tailored for waste heat integration in flooded mines
- An intuition-based uncertain variable reduction approach for robust optimization in power systems
- Distributionally robust scheduling of electric‑hydrogen integrated energy systems based on pipeline-road coordinated hydrogen transportation
- Offering reserve capacity to renewable-rich power systems can cut plant factory energy costs by up to 87 %
- Optimization of multi-stage constant currents fast charging protocol with negative pulses considering Lithium plating, stripping, and heat generation rates for Lithium-ion batteries
- Resilience enhancement of a distribution system via electric-vehicle garages
- Scheduling of electricity‑hydrogen integrated system under renewable energy sources uncertainty: Non-anticipativity and robust feasibility
- The application and research progress of hydrogen peroxide as cathode oxidant in fuel cells
- Operator learning for energy-efficient building ventilation control with computational fluid dynamics simulation of a real-world classroom
- PVSAM: Adapting geometric prompts to segment anything model for photovoltaic detection in remote sensing imagery
- Coordinated design of multi-stakeholder distributed energy systems with flexible demand resources from an energy-sharing perspective
- Cavern thermal energy storage: State of play and prospects
- Cost-optimal hydrogen refueling scheduling for bus fleet in a grid-connected hybrid renewable energy system
- A new model of energy management for maximum social welfare and minimum carbon dioxide emissions considering parking sharing
- Barriers to deployment: UK regulatory justification for nuclear new build
- Optimizing hybrid microgrids based battery swapping and charging station for UAV operations in remote areas with considering multiple weather uncertainties
- POLIDEMO: An electrochemical-mechanical framework for modeling lithium-ion batteries degradation
- A physics-based design rule for boosting PEMFC performances via gradient catalyst layer designs
- Enhancing interpretability and automation in data-driven energy modelling: An analytical approach to change-point regression models
- Fuzzy-neural-network-based model-free load frequency control of multi-area power systems with hybrid energy storage under wind penetration
- Data-driven a convergence-enhanced fusion energy management strategy based on teacher agent guidance for hybrid electric vehicles
- Research on the storage performance evaluation and economic prediction of catalyzed green methanol underground
- Maximizing solar share using robust system reserve for optimal operation of energy storage-integrated hybrid power systems
- Multi-objective optimisation-based approach for shipboard energy-efficient battery energy storage sizing leveraging operational data
- When bits enter just transitions: data and energy justice in digitalised energy futures
- From waste plastic to hydrogen fuel: selective conversion through advanced catalytic technologies
- Energy demand-based optimal start control for multi-chiller plants empowered by physics-guided AI
- Experimental investigation on an energy-focused type OWC WEC array
- Empowering phase change material thermodynamics via physics-consistent neural network-enabled advanced building control
- A method for assessing economic, environmental, and reliability tradeoffs of interregional transmission connecting ERCOT (the Texas grid) to the eastern and western grids
- From challenges to solutions: Review and analysis of grid-supportive technologies in sustainable power systems
- Distributed privacy-preserving optimization for multi-energy system considering carbon emission
- Progress and challenges in zinc-bromine batteries (ZBBs): A path towards safety and mitigation of high-performance systems
- Distributionally robust optimization configuration of integrated photovoltaic and energy storage in rail transit green energy system
- Incorporating intra-hour renewable variability into the design of stand-alone electrolytic hydrogen production systems
- Spatially dependent sampling of component failures for power system preventive control against hurricanes
- Device engineering and mechanisms for Electrocatalytic water splitting: Conventional to decoupled Electrolyzer
- Efficient OPF calculations for power system reliability assessment based on state similarity
- A validated forecasting model for optimizing dispatch schedules of PV - battery system in grid-connected apartment buildings
- Multi-stress accelerated aging for cycle life evaluation of high-capacity, long-life Lithium Iron phosphate batteries
- Estimating the spatial economic and environmental impact of planned offshore wind energy in the USA using environmentally extended multiregional input-output analysis
- Corrigendum to “Cost and system effects of nuclear power in carbon-neutral energy systems” [Appl. Energy 371 (2024) 123705]
- EV semi-dynamic routing and bidirectional dynamic wireless power transfer for service restoration in coupled traffic-power networks
- Load scheduling optimization for user-centric residential demand response leveraging time use surveys
- Real-time implementation of multi-stage constant current charging with intelligent power management for solar integrated electric vehicle chargers
- Artificial intelligence and machine learning for distributed energy resource management systems: Applications, frameworks, and future directions
- Portfolio selection and optimal planning for hydrogen energy storage systems composed of heterogeneous electrolyzer and fuel cell technologies in industrial park multi-energy systems
- Current imbalance analysis and magnetic-based consistency evaluation of Lithium-ion parallel-connected battery modules
- Coupled numerical framework for wind-wave-to-wire energy conversion in floating hybrid wind-wave systems
- Multi-stage resilience enhancement method for integrated power-thermal energy systems considering coordinated cyber-physical attacks
- Regenerating liquid desiccants with a thermo-responsive solution for energy-efficient indoor humidity control
- Unified control architecture for resilient hydrogen mobility with heterogeneous storage under realistic market logistics delays
- Finding common ground: A comparative study of city-scale shallow geothermal potential for Cambridge, UK, and Berkeley, USA
- Integrating distributed energy resources in power distribution systems: A comprehensive review of impacts, challenges, and opportunities from a distribution system operator’s perspective
- The role of unidirectional charging flexibility in the planning and operation of the future Swiss electricity system
- Phase field modelling of cracking and capacity fade in core-shell cathode particles for lithium-ion batteries
- Localized thermal control for global impact: A meta-analytical review of thermal comfort and energy performance of personal comfort systems
- PIUL-DERs: Physics-informed pseudo-labeling unsupervised learning for smart homes with distributed energy resources
- My-AESOPT: A systematic approach for the optimal investment planning and design of aggregated energy systems
- Cost implications of battery electric vehicle charging and grid integration: A household and utility perspective from the Tokyo Metropolitan Area
- Cyclic yaw control for wind farm power optimization: Effects on wake flow in the atmospheric boundary layer
- Data-driven prediction of fine-grained facade solar irradiance for urban PV potential assessment
- Large Language Models Meet Energy Systems: Opportunities, Challenges, and Future Perspectives
- Can distributed hydrogen production improve the earthquake resilience of power systems?
- A bidding-clearing mechanism for electricity-hydrogen conversion system participation in coEA market
- Flying electric: A comparative analysis of spare part demands and material cost for all-electric, hybrid-electric, and conventional aircraft propulsion systems
- Multi-agent heterogeneous graph reinforcement learning for electric vehicle routing and charging scheduling in coupled power-transportation networks
- Life-decomposition-based battery remaining useful life estimation: From a probabilistic view
- Systematic evaluation of transformer-based time series forecasting models for post-processing WRF-simulated wind speed and predicting short-term power output
- Operational analysis of the cooling system in a direct liquid-cooled data center: a measurement and simulation study on the impact of supply water temperature
- Incentivizing system friendliness of decentralized resources in sustainable energy systems
- Human-building interaction in energy management systems: A systematic review with LLM-based topic modeling for user-responsive and adaptive energy systems
- Mixed-integer programming embedded system dynamics model for deterministic capacity guarantee of power generation considering long-term carbon market variations
- Targeted and cost-efficient solar cleaning: A novel RTVA approach to robotic path planning
- Deep reinforcement learning based coordinated control for integrated energy system with photovoltaic, storage and electric vehicles considering transportation-power network couplings
- Resilience-oriented emergency resource dispatch for power–transportation coupled networks under rainstorm-induced flood hazards
- Uncovering drivers of EU carbon futures with Bayesian networks
- A comprehensive optimization framework to maximize vehicle-to-grid revenues: Combining multi-market power trading with frequency containment reserve
- Dynamic modeling of heat and mass transfer in photovoltaic-electrolyzer systems: Implications for system design and safety
- Machine learning-guided design of multi-metal catalysts for methane dry reforming: Structure–activity insights and experimental validation
- Novel control-based design optimization of smart energy distribution and Management in Vehicle-to-Grid Integrated Microgrid
- Thermal monitoring modeling of solid-state batteries: Decoding temperature inhomogeneity via machine learning of interfacial heat generation
- Experimental analysis and annual energy evaluation of thermal-daylighting-electrical performance of PV vacuum glazing for high-rise buildings
- Co-optimize dispatch and pricing in market clearing problem to balance conflicting market objectives
- Gaussian processes in power systems: Techniques, applications, and future works
- Recent growth and potential applications of metallic phase change materials - A review
- SOH estimation framework for batteriesconsidering label normalization and feature stability under real-world data
- Peer-to-peer energy trading in dairy farms using multi-agent reinforcement learning
- Analyzing gas crossover risk of proton exchange membrane water electrolyzer through a perspective of disease prevention and treatment
- A few-shot learning framework for HVAC fault diagnosis in data centers with minimal data required
- Structure-sensitive carbon emission mechanisms in urban morphology: Grad-CAM guided nonlinear modeling and attention-based sectoral diagnosis
- Sustainable planning of electric bus systems: Degradation-aware and climate-specific techno-economic analysis
- Entropy engineering strategies in nickel-based layered cathode materials: Advances in structural stabilization and electrochemical performance
- Optimized scheduling strategies for integrated energy systems in agricultural parks with near-zero carbon emissions
- A novel differentiable predictive control (DPC) approach for safe and optimal EV charging and discharging scheduling
- Efficiency analysis of large-scale vanadium redox flow battery at different temperature conditions: a validated model-based study
- A demand-side optimisation framework for assessing energy flexibility potential of integrated energy systems in building complex
- Recent progress on multi-scale calculation of perovskite-based proton-conducting electrolytes for proton ceramic fuel cells
- A comparative analysis of optimizing hydrogen and battery shared energy storage in hybrid power generation systems
- Hydrogen blending into natural gas networks: global practices, infrastructure compatibility, and end-user implications
- Explicit modeling of multi-energy complementarity mechanism for uncertainty mitigation: A multi-stage robust optimization approach for energy management of hydrogen-based microgrids
- A multi-criteria evaluation framework for adaptability of hybrid energy storage system energy management strategies to dynamic driving style
- A novel hybrid model for state of health prediction in lithium batteries based on non-stationary transformers optimized by tree-structured Parzen estimator considering health factors
- Techno-economic analysis with a dynamic optimization approach integrating electrical and chemical engineering: A case study for aviation decarbonization in Japan
- Enhancing adaptive health-conscious energy management control strategy with self-learning power correction for fuel cell hybrid electric vehicles
- Solar and wind power plant site selection in China: Machine learning-based regional and temporal probability
- A comprehensive review on mainly hydrogen production based on waste heat recovery for single and multigeneration energy systems
- Competition and equilibrium in future global renewable hydrogen trade: A game-theoretic analysis
- A novel probabilistic wind power forecasting framework integrating similar curve matching mechanism and an enhanced conditional diffusion model
- Model predictive control-based energy management strategy for ocean-going ship direct current microgrid considering waste heat utilization
- A systematic literature review of the advances in structural aspects of floating photovoltaic systems
- From state-of-the-art to next-generation solutions: A review for Gen-AI integration in photovoltaic maintenance
- Battery health prediction under data scarcity: A cross-domain physics-informed 5-shot framework with GRU-Transformer
- Multi-phase location and capacity planning of electric-hydrogen charging stations with GCN in coupled power-traffic system
- Synergy mapping-informed learning rate estimation for bipolar membrane electrodialysis in carbon dioxide removal
- Real-time knowledge- and data-driven reliability analysis for lithium-ion battery energy storage system by Bayesian fault propagation network
- Non-destructive and adaptive negative electrode impedance estimation of lithium-ion batteries using ensemble learning
- Optimizing CO₂ Hydrate Formation for Integrated Capture, Transport, and Sequestration: Key Influencing Factors and Enhancement Strategies
- Real-world deployment of model-free reinforcement learning for energy control in district heating systems: Enhancing flexibility across neighboring buildings
- Towards sustainable and resilient net/nearly zero energy buildings: A flexible energy framework integrating renewable energy, storage, and electric vehicles with grid-friendly interactions under uncertainties
- Harvesting spatial-temporal load migration flexibility of data centers: A chance-constrained bi-level optimization model with endogenously formed risk-reflective locational prices
- Mapping the global potential of onshore field-scale solar PV using positive-unlabeled deep learning
- Multivariate modeling on wake-affected wind farms by two-stage hybrid graph neural network
- Low voltage ride through enhancement techniques on photovoltaic systems: A comprehensive review
- Consistency sorting of retired lithium-ion batteries: From the perspective of maximizing remaining useful discharge
- Physically-bounded distributionally robust chance-constrained dispatch approach for power system with renewable power-to-ammonia
- From servers to services: modeling data centers as heat-active urban energy prosumers
- Solar photovoltaic system optimization and key factor identification using real commercial and industrial electrical demand profiles
- Advancing an already high-performance smart building with model predictive control: Multi-layer optimization under forecast uncertainty in a real building case
- Utilizing steel slag in sorption-enhanced biomass gasification: A pathway to syngas production with integrated CO2 capture
- Quantitative assessment of voltage nonuniformity in 20 cell PEMFC stack for degradation mapping and health monitoring
- Physics-informed operator learning for real-time battery state estimation
- Performance evaluation of high latitude agrivoltaic systems with vertically mounted bifacial panels
- Balancing markets and imbalance forecasting: A pathway towards net zero grids
- Game-based scheduling of mobile charging robots for electric vehicle charging: A relay-like scheme
- A hybrid deep learning framework for multivariate energy forecasting and peak load prediction in electric vehicle charging infrastructure
- Electric vehicle charging decisions with travel distance: novel clustering algorithm integrating spatial-temporal charging and trip data
- Multi-market revenue optimization for integrated wind and hybrid energy storage systems
- Performance assessment of photovoltaic/thermal module coupled PEM electrolyzer hydrogen production system based on nanofluids and composite phase change materials
- “Can we envision Decarbonisation beyond extraction? Challenging claims of a ‘just' energy transition from the seabed”
- Unified system intelligence: Learning energy strategies for optimizing operations, maintenance, and market outcomes
- Physics-guided deep reinforcement learning for optimized data center cooling and waste heat recovery utilizing aquifer thermal energy storage
- Multi-objective optimization of fuel electrode microstructure for cost-effective and high-performance solid oxide electrolysis cells
- Optimal energy management at solar-integrated hubs for e-taxis with battery swapping and fast charging under power network constraints
- Data-driven demand response aggregation for public EV charging stations: Overcoming decoupled governance challenges
- Causes identification and sources localization method for multistage voltage sag under the influence of high penetration of renewable energy sources
- Vehicle-to-grid technology for load balancing and energy management: A comprehensive review of technical, economic and environmental perspectives
- Is there a role for firm hydrogen-based electricity in future energy systems? A comparative analysis of firm low-carbon electricity options
- A holistic review of electric vehicle charging impacts on power distribution networks: Technical challenges, smart mitigation strategies and future directions
- Assessment on electric vehicle dispatch-based demand-side energy storage requirement reduction via spectral decomposition
- Active distribution network operation optimization problem for hybrid energy storage systems containing abandoned mine pumped storage-battery storage: an improved artificial protozoa optimization algorithm
- Data-driven remaining driving range estimation and analysis framework for electric vehicles under real-world conditions1☆
- Global electricity-carbon market nexus: A systematic review of synergistic efforts towards a net-zero power sector
- Thermal analysis and performance prediction on ultrasonic-assisted phase change thermal management device
- A multi-objective sorting rotation control strategy for hydrogen production system considering electrolyzer degradation and state transition
- Model-based optimization of energy efficiency in alkaline water electrolysis under current fluctuations
- Equilibrium allocation strategy of distributed ESSs balancing ecology and economics in DNs considering carbon taxation systems
- A two-tier optimization framework for urban integrated energy systems incorporating PSO-LSTM data-driven prediction and low-carbon demand response
- Performance analysis and optimization of solar-powered hybrid desalination systems using nitrogen-doped graphene composite phase change materials
- Physics informed machine learning based predictive control for intelligent operation of edge datacenters
- Dynamic simulation-based fault evaluation and recovery for heat-electrical integrated energy system
- Review of deep learning techniques applications in modern power systems stability and cyber security
- Multi-segment flexibility-based optimization scheduling for integrated energy systems coupled with electric and hydrogen fuel cell vehicles
- Hierarchical reserve-based distributionally robust chance-constrained optimization for integrated electricity-heat systems during cold waves
- High-dimensional probability preserving scenario reduction method using adaptive selection with sampling for large-scale power system
- Coordinative multi-stage approach to railway energy system resilience enhancement: From risk-aware FTPSS planning to emergency energy management and adaptive train control
- Edge-based real-time tracking of carbon emission flow in power systems with dynamic network pruning
- Multi-market agency-based power procurement strategies for power grid companies using reinforcement learning
- Pioneering new paths in sodium-ion batteries: A comprehensive review towards binder-free anode and cathode materials for next-generation energy storage
- Evaluation of battery inconsistency in electric vehicles based on fusion of image features and temporal features
- An integrated framework for systematically identifying optimal high-voltage transmission routes in renewable energy systems
- Microgrids space applications: A comprehensive review and future trends
- Multiaxial failure characterization and short-circuit prediction of large-format prismatic lithium-ion batteries
- Multi-scale patch and frequency-domain gated learning for high-resolution day-ahead photovoltaic forecasting
- Current and future trends in lithium-ion battery electrode production machinery: A comprehensive review
- Mass transfer evaluation of full-scale PEMFC and flow field optimization based on the brachistochrone principle
- Integrating process-level production scheduling into bidding strategy of steelmaking in multiple electricity markets
- State-of-the-art review of urban building energy modelling on supporting sustainable development goals
- Accelerating energy storage deployment in China: incentive alignment and regional policy incentives
- A two-stage optimization framework for EV charging station planning considering investment cost and service satisfaction
- A systematic review on the economic viability of solar desalination: influence of design innovations and enhancement strategies
- Ultra-short-term photovoltaic power prediction based on ground-based cloud images: A review
